Win & Scale
IndustriesFashion & apparel

Meta ads for fashion brands, run by your AI agent.

Find the looks that sell, and launch the next drop paused. Your agent reads what bought sales and spends nothing until you say go.

7 days free with every feature. Cancel anytime.

Works with

Try asking
  • Which try-on hooks sold last season?
  • Brief three ads for the new drop.
  • Launch the Gen Z stylist cut, paused.
  • POV: you found the jacket before it sold out.
An ad from Vessa Row, a fictional brand, in a phone, with the agent's work around it: Values tagged (Seasonal drop, Capsule wardrobe shopper), a winning creative, a launch built paused and a prompt waiting for the owner to activate it. Product ad for Vessa Row, a fictional fashion brand, showing a camel wool coat on a hanger under the headline New drop.

What does a fashion brand need from Meta ads?

Fashion runs on drops and seasons, so a winning creative tires on a schedule and the next one is rarely ready in time.

  • “Our winners tire before the next drop ships.”

    A try-on that sold in March is wallpaper by May. Nobody notices until the cost per purchase has already climbed, and the replacement is still in the edit.

  • “Every collection starts the guessing from zero.”

    Last season’s lessons live in ad names like SS_tryon_v3_FINAL. Which angle, persona and hook actually sold is lost by the time the next drop is briefed.

  • “We get more UGC than we ever test.”

    Creators send try-ons, hauls and styling videos faster than anyone can sort them. Picking which three to launch is a gut call made on a Friday.

See a try-on tire before the cost climbs.

Your agent ranks every look on purchases against the rest of the account. A winner that starts slipping shows up while there’s still time to replace it.

  • meta_get_evidence_health checks the numbers are fresh, and how much spend is still untagged, before judging anything.
  • meta_get_history_winners judges on purchases over 30 and 90 days, not on Meta’s “Results”.
  • meta_get_audience_breakdown shows which ages and placements still buy from a look.
The result of meta_get_history_winners on an example account for Vessa Row, a fictional brand, goal purchase. Fitting room selfie caption is a winner over 90 days and average over 30. New drop, one hero coat is the reverse. Numbered carousel lookbook tile is unproven. Next test: A fresh fitting-room selfie for the capsule wardrobe shopper, before the new drop’s spend ramps up.

Start every drop from what sold last season.

Win & Scale stores what each creative is as Values: its angle, persona, format and hook. The ad name stays a hint, so a lesson survives the rename.

  • meta_tag_creatives tags each try-on, haul and flat-lay with its angle, persona, format and hook.
  • meta_get_cross_analysis compares two of them across seasons, such as persona by hook.
  • meta_transcribe_creative reads what each try-on video actually says, line by line.
The result of meta_get_cross_analysis, persona by hook over 180 days, drawn as a heat map of cost per purchase. Gen Z stylist is cheapest on POV, Office edit on Fit check, Weekend edit on Haul. Weekend edit and Styling tip has never been tried.

Test the UGC pile instead of guessing.

Your agent turns the next idea into a test, with its question frozen up front: what changes, what stays, and how it will be judged. Results are added to the record, never rewritten.

  • meta_suggest_next suggests which try-on deserves the next test slot.
  • meta_create_test writes down the question, and how it will be judged, before any result comes in.
  • meta_conclude_test waits for enough purchases, then files the lesson for next season.
A committed test for Vessa Row, a fictional brand. Live, question frozen, created with meta_create_test. Does a fitting-room selfie beat a studio shot for the capsule wardrobe shopper? It keeps the Capsule wardrobe shopper and the same offer, and changes the studio shot to the selfie. It is judged on cost per purchase vs baseline, after enough purchases to call it, and outcomes are appended, never rewritten.

Brief the drop. Launch it paused. You turn it on.

Your agent writes briefs from your brand voice and the proof you can claim, then builds the launch with nothing spending. Activating it is a separate call that waits for you.

  • meta_save_brief keeps sizing, fabric and price claims to what your brand actually states.
  • meta_launch_ads builds the campaign, ad set and ads paused, and flags copy your strategy doesn’t back.
  • meta_activate spends nothing until you say go. Your agent asks you first.
An agent calls meta_launch_ads for Vessa Row, a fictional fashion brand, and gets back a paused launch: the campaign, the ad set and three ads, all Paused, with Activate waiting for the owner.

What can a fashion brand ask its AI agent?

Ask the way you would ask a media buyer who knows the season. Your agent checks the evidence before it answers.

  • Evidence checkWhich numbers from the last drop shouldn’t I trust yet? Don’t change anything.
  • What soldWhich try-on hooks and personas sold over the last 180 days, judged on purchases?
  • Tiring winnersWhich of our 90-day winners are slipping in the last 30 days?
  • Launch pausedAnswered in the conversation: Launch the POV try-on test for the Gen Z stylist. Leave it paused for me.
  • Sort the UGCTag this week’s creator videos and tell me which three to test first.
  • Brief the dropBrief three ads for the new drop from what sold, in our brand voice.
Claude Code · winandscale connected

Launch the POV try-on test for the Gen Z stylist: three fits, one ad set. Leave it paused.

  1. meta_get_evidence_healthsynced 3h ago
  2. meta_get_history_winnersPOV hook · Winner, 90d
  3. meta_launch_adsPaused
  4. meta_activateWaiting for you

Built 1 campaign, 1 ad set and 3 try-on ads, all paused and linked to the POV vs flat-lay test. Review them in Ads Manager, then tell me to activate.

What does your agent tag on every fashion ad?

Every ad is tagged with Values: its angle, persona, format and hook. Results compare even when ad names don't.

ValuesYour account’s Values come from your own creatives.

meta_list_taxonomy

  • Angles

    Why someone should buy now

    • New drop
    • Restock
    • Seasonal edit
    • Size honesty
    • Made to last
    • Gift guide

  • Personas

    Who the ad speaks to

    • Gen Z stylist
    • Office edit
    • Weekend edit
    • Occasion shopper
    • Returning customer

  • Formats

    What the creative looks like

    • Try-on UGC
    • Haul
    • Styling carousel
    • Studio flat-lay
    • Lookbook static
    • Mirror fit check

  • Hooks

    The first three seconds

    • POV
    • Get ready with me
    • Three ways to wear it
    • Price reveal
    • Before it sells out

Where to go next

Questions, answered

Everything else is in the docs.

Can an AI agent run Meta ads for a fashion brand?
Yes, an AI agent such as Claude Code or ChatGPT can run a fashion brand’s Meta ads with Win & Scale. Your agent reads the ad account, tags each look and builds the next launch paused.
Will my agent launch ads without asking?
No, every launch is created paused. Turning one on is a separate call, meta_activate, and your agent asks you first.
How does Win & Scale spot creative fatigue?
Win & Scale spots creative fatigue by ranking each look on purchases against the rest of the account. A winner that slips over 30, 90 or 180 days shows up as a changed verdict.
Can my agent read try-on videos, not just thumbnails?
Yes, Win & Scale transcribes every try-on video in your library. Your agent is also told when a video has only been read from its poster image.
How much does Win & Scale cost for a fashion brand?
Win & Scale starts with a 7-day free trial that includes every feature. After it, each ad account pays a flat monthly price by ad spend, from $49 a month for up to $10k.
Which AI agents work with Win & Scale?
Any AI agent that connects over MCP works with Win & Scale, including Claude Code, Claude, ChatGPT, Cursor and Codex. Agent calls cost 0 AI credits, because they run on your own plan.

Find the looks that sell. Launch the next drop paused.

Start a 7-day free trial with your website, connect your AI agent, and keep every launch paused until you say go.

Works with